Triple

T21681444
Position Surface form Disambiguated ID Type / Status
Subject Шинель E535116 entity
Predicate hasGhostMotif P58281 FINISHED
Object да LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: да | Statement: [Шинель, hasGhostMotif, да]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGhostMotif
Context triple: [Шинель, hasGhostMotif, да]
  • A. hasGhostCharacter chosen
    Indicates that an entity includes, features, or is associated with a character that is a ghost.
  • B. hasGhostHouse
    Indicates that an entity possesses, contains, or is associated with a house believed to be haunted or inhabited by ghosts.
  • C. hasClosingMotif
    Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
  • D. hasCrystalMotif
    Indicates that one entity features or incorporates a crystal-themed motif in relation to another entity.
  • E. hasGhostElements
    Indicates that an entity contains or is associated with non-physical, hidden, or intangible elements that are not part of its primary visible or material structure.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96c69990819088a1134ecea09099 completed April 27, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69e6968abfdc81909cf9e0bd72db9eca completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:43 p.m.